Gabriel Poesia
Stanford University(US)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Software Engineering Research, Parallel Computing and Optimization Techniques, Reinforcement Learning in Robotics
Most-Cited Works
- → Synchromesh: Reliable code generation from pre-trained language models(2022)66 cited
- → Proceedings of the First Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022)(2022)15 cited
- → Static placement of computation on heterogeneous devices(2017)15 cited
- → Parsel: Algorithmic Reasoning with Language Models by Composing Decompositions(2022)14 cited
- → Open-domain clarification question generation without question examples(2021)14 cited
- → Solving Math Word Problems by Combining Language Models With Symbolic Solvers(2023)12 cited
- → Hypothesis Search: Inductive Reasoning with Language Models(2023)12 cited
- → Peano: learning formal mathematical reasoning(2023)11 cited
- → Dynamic dispatch of context-sensitive optimizations(2020)7 cited
- → Contrastive Reinforcement Learning of Symbolic Reasoning Domains(2021)4 cited